Literature DB >> 29122685

Molecular and enzoinformatics perspectives of targeting Polo-like kinase 1 in cancer therapy.

Shazi Shakil1, Mohammad H Baig2, Shams Tabrez3, Syed M Danish Rizvi4, Syed K Zaidi5, Ghulam M Ashraf3, Shakeel A Ansari5, Aftab Aslam Parwaz Khan6, Mohammad H Al-Qahtani5, Adel M Abuzenadah7, Adeel G Chaudhary7.   

Abstract

Cancer is a disease that has been the focus of scientific research and discovery and continues to remain so. Polo-like kinases (PLKs) are basically serine/threonine kinase enzymes that control cell cycle from yeast to humans. PLK-1 stands for 'Polo-like kinase-1'. It is the most investigated protein among PLKs. It is crucial for intracellular processes, hence a 'hot' anticancer drug-target. Accelerating innovations in Enzoinformatics and associated molecular visualization tools have made it possible to literally perform a 'molecular level walk' traversing through and observing the minutest contours of the active site of relevant enzymes. PLK-1 as a protein consists of a kinase domain at the protein N-terminal and a Polo Box Domain (PBD) at the C-terminal connected by a short inter-domain linking region. PBD has two Polo-Boxes. PBD of PLK-1 gives the impression of "a small clamp sandwiched between two clips", where the two Polo Boxes are the 'clips' and the 'phosphopeptide' is the small 'clamp'. Broadly, two major sites of PLK-1 can be potential targets: one is the adenosine-5'-triphosphate (ATP)-binding site in the kinase domain and the other is PBD (more preferred due to specificity). Targeting PLK-1 RNA and the interaction of PLK-1 with a key binding partner can also be approached. However, the list of potent small molecule inhibitors targeting the PBD site of PLK-1 is still not long enough and needs due input from the scientific community. Recently, eminent scientists have proposed targeting the 'Y'-shaped pocket of PLK-1-PBD and encouraged design of ligands that should be able to concurrently bind to two or more modules of the 'Y' pocket. Hence, it is suggested that during molecular interaction analyses, particular focus should be kept on the moiety in each ligand/drug candidate which directly interacts with the amino acid residue(s) that belong(s) to one of the three binding modules which together create this Y-shaped cavity. This obviously includes (but it is not limited to) the 'shallow cleft'-forming residues i.e. Trp414, H538 and K540, as significance of these binding residues has been consistently highlighted by many studies. The present article attempts to give a concise yet critically updated overview of targeting PLK-1 for cancer therapy.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cancer therapy; Enzoinformatics; PLK-1; Polo-Box-Domain; Polo-like kinases

Mesh:

Substances:

Year:  2017        PMID: 29122685     DOI: 10.1016/j.semcancer.2017.11.004

Source DB:  PubMed          Journal:  Semin Cancer Biol        ISSN: 1044-579X            Impact factor:   15.707


  7 in total

1.  An oncoinformatics study to predict the inhibitory potential of recent FDA-approved anti-cancer drugs against human Polo-like kinase 1 enzyme: a step towards dual-target cancer medication.

Authors:  Syed Mohd Danish Rizvi; Abdulaziz Arif A Alshammari; Waleed Abdullah Almawkaa; Abo Bakr F Ahmed; Ahmed Katamesh; Ahmed Alafnan; Tariq J Almutairi; Rakan F Alshammari
Journal:  3 Biotech       Date:  2019-02-09       Impact factor: 2.406

2.  Onvansertib and paclitaxel combined in platinum-resistant ovarian carcinomas.

Authors:  Roberta Affatato; Michela Chiappa; Federica Guffanti; Francesca Ricci; Laura Formenti; Robert Fruscio; Marta Jaconi; Maya Ridinger; Mark Erlander; Giovanna Damia
Journal:  Ther Adv Med Oncol       Date:  2022-05-31       Impact factor: 5.485

3.  High Throughput Virtual Screening and Molecular Dynamics Simulation for Identifying a Putative Inhibitor of Bacterial CTX-M-15.

Authors:  Shazi Shakil; Syed M Danish Rizvi; Nigel H Greig
Journal:  Antibiotics (Basel)       Date:  2021-04-21

4.  Linear Regression QSAR Models for Polo-Like Kinase-1 Inhibitors.

Authors:  Pablo R Duchowicz
Journal:  Cells       Date:  2018-02-14       Impact factor: 6.600

5.  Molecular interaction of inhibitors with human brain butyrylcholinesterase.

Authors:  Shazi Shakil
Journal:  EXCLI J       Date:  2021-11-25       Impact factor: 4.068

6.  Small Interfering RNA in Colorectal Cancer Liver Metastasis Therapy.

Authors:  Junlin Xie; Shubin Wang
Journal:  Technol Cancer Res Treat       Date:  2022 Jan-Dec

7.  Restrained management of copper level enhances the antineoplastic activity of imatinib in vitro and in vivo.

Authors:  Iftekhar Hassan; Azmat Ali Khan; Shazia Aman; Wajhul Qamar; Hossam Ebaid; Jameel Al-Tamimi; Ibrahim M Alhazza; Ahmed M Rady
Journal:  Sci Rep       Date:  2018-01-26       Impact factor: 4.379

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.